AIBullisharXiv – CS AI · 7h ago6/10
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SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks
Researchers propose SpikeDecoder, a fully spiking neural network implementation of the Transformer decoder block designed for natural language processing. The approach reduces theoretical energy consumption by 87-93% compared to standard artificial neural networks while maintaining comparable performance, addressing the critical challenge of energy efficiency in large language models.